Menü
Consensus estimates and earnings data from Alpha Vantage.
Mit Codex oder Claude installieren Kopieren Sie diesen Prompt, fügen Sie ihn in Codex, Claude oder einen anderen Assistant ein und lassen Sie die Skill-Seite prüfen und installieren.
Basierend auf der SOC-Berufsklassifikation
Predict stock direction post 8-K earnings & refine using 10-Q/10-K outcomes
Predict stock direction after an 8-K earnings release from a prebuilt earnings context bundle
Post-event causal attribution — explains why a stock moved after 8-K earnings, compares against prediction, writes reusable lessons for future predictions. Production invocation via SDK embed (main session), not fork.
Core Neo4j schema reference with all labels, relationships, data types, and indexes. Use when exploring database structure, checking field types, or understanding the financial knowledge graph schema.
V1105_LONGDESC_START_MARKER. This skill tests v2.1.105's skill-description cap raise from 250 to 1536 characters. If this description appears truncated in the skill listing system-reminder at around character 250, the cap was not raised; if it appears truncated at around 1536, the cap was raised correctly per changelog. The test sentinel markers are placed at specific character offsets: V1105_OFFSET_100 is at char 100 approximately, V1105_OFFSET_300 is at char 300 approximately (old cap would truncate this), V1105_OFFSET_700 is at char 700 approximately, V1105_OFFSET_1000 is at char 1000, V1105_OFFSET_1200 is at char 1200, V1105_OFFSET_1400 is at char 1400, and V1105_END_MARKER is the last visible sentinel. This description also contains deliberately redundant filler to reach the target length without substantive content since the purpose is only to verify truncation behavior rather than to provide meaningful guidance. filler filler filler filler filler filler filler filler filler filler filler filler filler
Child skill for v2.1.107 nesting retest — writes marker and returns
| name | alphavantage-earnings |
| description | Consensus estimates and earnings data from Alpha Vantage. |
# Quarterly + annual actuals (open mode)
python3 $CLAUDE_PROJECT_DIR/.claude/skills/earnings-orchestrator/scripts/pit_fetch.py \
--source alphavantage --op earnings --symbol AAPL
# Quarterly + annual actuals (PIT mode — date-only filter, annual cross-referenced)
python3 $CLAUDE_PROJECT_DIR/.claude/skills/earnings-orchestrator/scripts/pit_fetch.py \
--source alphavantage --op earnings --symbol AAPL \
--pit 2024-11-01T10:00:00-05:00
# Consensus estimates (open mode — all forward + historical)
python3 $CLAUDE_PROJECT_DIR/.claude/skills/earnings-orchestrator/scripts/pit_fetch.py \
--source alphavantage --op estimates --symbol AAPL
# Consensus estimates (PIT mode — coarse PIT using revision buckets, forward gapped)
python3 $CLAUDE_PROJECT_DIR/.claude/skills/earnings-orchestrator/scripts/pit_fetch.py \
--source alphavantage --op estimates --symbol AAPL \
--pit 2024-11-01T10:00:00-05:00
# Earnings calendar (open mode only — gapped in PIT)
python3 $CLAUDE_PROJECT_DIR/.claude/skills/earnings-orchestrator/scripts/pit_fetch.py \
--source alphavantage --op calendar --symbol AAPL --horizon 3month
record_type: "quarterly_earnings"fiscalDateEnding, reportedDatereportedEPS, estimatedEPS, surprise, surprisePercentageavailable_at derived from reportedDate (date-only, start-of-day NY)record_type: "annual_earnings"fiscalDateEnding, reportedEPSavailable_at cross-referenced from matching Q4 quarterly reportedDate (available_at_source: "cross_reference")gaps[] as unverifiablerecord_type: "estimate"fiscalDateEnding, horizoneps_estimate_average_7/30/60/90_days_ago, eps_estimate_revision_up/down_trailing_7/30_dayspit_consensus_eps (the PIT-appropriate value) and pit_bucket (e.g., 7d_before_period_end, at_period_end). available_at_source: "coarse_pit". Forward-looking estimates gapped.record_type: "earnings_calendar"symbol, name, reportDate, fiscalDateEnding, estimate, currency, timeOfTheDayFree tier - use sparingly.